Demand Forecast 需要予測システム
AI reads ahead on sales trends, eliminating waste in purchasing and ordering.
AI learns from past sales performance, day of the week, season, weather, and more to forecast how well each product is likely to sell. From manufacturers, wholesalers, and trading companies to retailers, it makes the decision of "how much to prepare" easier — and more accurate — reducing both stockouts and unsold inventory.
AI Demand Forecast
Example product: Mineral water / Next week's outlook
Forecasted sales~130 units
Range: 110–150 units (choose a higher number if you want to avoid stockouts)
AI Recommendation ↓
Recommended quantity 130 units
Increasing due to weekend + Decreasing due to rain − Reduced for existing stock −
The Challenge
小売DXにあたってのお客様課題
"How much should we prepare?" is always a hard question
Deciding purchasing, production, and order quantities is a headache for manufacturers, trading companies/wholesalers,and retailers/stores alike.
Too much leads to unsold stock; too little leads to stockouts.
Experience
Relies Heavily on Experience and Intuition
Decisions on quantities rely heavily on veteran staff's experience and gut feeling. Accuracy shifts whenever the person in charge changes.
Mismatch
Over- or Under-Stocking Occurs
Misreading demand leads to excess or insufficient inventory. It's hard to consistently hit just the right number.
Loss
Both Unsold Stock and Stockouts Hurt
Leftover stock means disposal and carrying costs, while shortages mean lost sales opportunities. Either way, profits suffer.
Inconsistency
Varies by Person and Location
Decision-making standards differ by person and location, so accuracy isn't stable across the organization.
Our Solution
アジアクエストのソリューション
From Experience and Intuition to AI Forecasting
AI predicts sales performance and supports "how much to prepare" decisions with data.
Regardless of who's in charge, decisions become consistently accurate.
Before
Quantities decided by experience and intuition
Misreadings lead to over- or under-stocking
Unsold inventory, stockouts, and inconsistency between staff
After
Quantities decided based on AI forecasts
Converges on "just the right amount"
Stable accuracy regardless of who's in charge
Core Capabilities
アジアクエストの強み
Two Pillars of AI Demand Forecasting
"High forecast accuracy" and "understanding why that number was chosen.
" Together, these make forecasts that teams can trust and actually use.
01
Reads Ahead on Sales Trends
AI learns collectively from past sales performance plus day of the week, season, weather, events, and more to forecast sales for each product.
Fine-grained forecasts by product, location, and period
Considers multiple factors together
Shows a range from minimum to maximum
02
Shows "Why That Number"
Not a black box left entirely to AI. It clearly shows the reasoning behind each forecast so staff can make decisions with confidence.
Displays forecast reasoning in an easy-to-understand way
Shows increasing and decreasing factors at a glance
Trusted and actually used on the ground because it's transparent
Key Features 主な特徴
Combining high accuracy with ease of understanding
Usable without specialized knowledge, and trusted in the field. It's packed with the ingenuity needed to achieve both.
Considers multiple factors
Reads past sales alongside day of the week, season, weather, events, and more together to forecast.
Shows the range
Presents a range ("roughly X, up to Y at most") so you can prepare extra when avoiding stockouts matters.
Shows forecast reasoning
Displays the factors behind increases and decreases, so decisions aren't left entirely to AI — you understand and agree with the result.
Works for new products/locations too
Even with little historical data, forecasts are based on the performance of similar products or locations.
Gets smarter with use
Automatically improves by comparing forecasts against actual results — while final decisions remain in human hands.
Fast and low-cost even at scale
Processes thousands of locations and products without delay, running economically on cloud costs proportional to usage.
How it works
仕組み
How Does It Forecast? ― 3 Steps
No complicated setup required. Hand over your data, and AI forecasts it, delivering results in a form that's easy to use on the ground.
Gather Data
Import sales performance, inventory, product information, weather, calendar data, and more. You can start with the data you already have.
AI Forecasts
Based on the gathered data, AI calculates "how much is likely to sell" and the reasoning behind it.
Deliver to the Field
View the "recommended quantity" and the reasoning behind it clearly on screen.
A Reliable Foundation:Built on the cloud (AWS), so it scales smoothly as the number of products and locations grows.Data is managed securely, and you only pay for what you use.
Value & Benefits アジアクエストが提供する価値とメリット
How Things Change After Implementation
Getting closer to "just the right amount" pays off both in profitability and in daily operations.
Less Unsold Stock and Fewer Stockouts
Reduces disposal costs, excess inventory, and lost sales opportunities all at once.
Easier Quantity Decisions
Less hesitation and effort — anyone can decide quantities quickly.
Less Variation Between Staff
Maintains stable accuracy even as staff or locations change.
Less Wasted Work
Eliminates manual aggregation and forecasting, freeing time for higher-value work.
New Staff Productive Right Away
Confident decisions based on AI forecasts, even without veteran intuition.
Decisions Backed by Numbers
Enables evidence-based decision-making instead of relying on gut feeling alone.
Anywhere in the Supply Chain: By having AI support "how much to prepare" decisions, manufacturers, trading companies/wholesalers,and retailers alike can reduce both excess inventory and stockouts.
Why AsiaQuest アジアクエストが選ばれる理由
Why We're Chosen ― Built for Your Company, Grown Together
Rather than fitting your operations to an off-the-shelf tool, we build around your products, data, and way of working.
Built for Your Company
Tailored to your industry, products, and existing data situation.
Start Small First
Begin with a subset of products or locations, confirm the impact, then expand with confidence.
Simple to Use, Hands-On Support
Designed to be usable without specialized expertise, with continuous improvement together after rollout.
Solid Technical Foundation
Backed by 400+ engineers and proven AWS experience, supporting a secure system that keeps running as it scales.
How to Start アジアクエストが選ばれる理由
Approach ― Start Small, Then Expand
Rather than rolling out company-wide right away, start with a limited scope, confirm the results, then expand with confidence.
Pilot Verification Some products/locations Check the impact Try It First
Narrow the scope, verify AI forecast accuracy, and assess how useful it is.
Trial Operation Expand scope Use in the field Use It in Real Operations
Broaden scope and refine the screen and usability while using it in actual work.
Full Operation Company-wide Company-wide rollout Roll Out Company-Wide
Deploy across the entire company, carrying forward the accuracy and workflow fit confirmed during the pilot and trial phases.
※ The approach and timeline are flexibly adjusted based on verification results and on-the-ground feedback.
Ready to Solve "How Much to Prepare"
with AI?
with AI?
We'll propose an approach to AI demand forecasting tailored to your data and products.
Inquiries at the concept stage are also welcome.
Inquiries at the concept stage are also welcome.